Concatenated tree codes: A low-complexity, high-performance approach

L. Ping, K. Y. Wu

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

66 Citations (Scopus)

Abstract

This paper is concerned with a family of concatenated tree (CT) codes. CT codes are special low-density parity-check (LDPC) codes consisting of several trees with large spans. They can also be regarded as special turbo codes with hybrid recursive/nonrecursive parts and multiple constituent codes. CT codes are decodable by the belief-propagation algorithm. They combine many advantages of LDPC and turbo codes, such as low decoding cost, fast convergence speed, and good performance.
Original languageEnglish
Pages (from-to)791-799
JournalIEEE Transactions on Information Theory
Volume47
Issue number2
DOIs
Publication statusPublished - Feb 2001

Research Keywords

  • Bayesian networks
  • Graph codes
  • Iterative decoding
  • Low-density parity-check (LDPC) codes
  • Multidimensional concatenated codes
  • Tanner graphs
  • Turbo codes

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